13 citations · 14 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Adaptive Memory Replay for Continual Learning
James Seale Smith, Lazar Valkov, Shaunak Halbe +4
Foundation Models (FMs) have become the hallmark of modern AI, however, these models are trained on massive data, leading to financially expensive training. Updating FMs as new dat…
cs.CV2022★ 13 cited
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta +6
Computer vision models suffer from a phenomenon known as catastrophic forgetting when learning novel concepts from continuously shifting training data. Typical solutions for this c…